Search Results for "multi-objective optimization" - Page 7

Single header, templatized epxression tree. Assign functors to branches and values to leaves, then call evaluate(). Requires C++11's function<T>. Optional multi-threaded evaluation is dependent on header <future>.

Software for optimization of multi modal, multi dimensional functions based on SOMA algorithm. Program is implemented on top of hadoop, and is especially well suited for functions with high computational times because of its distributed nature.

Metaboflux is a generic approach for predicting flux distribution in metabolic networks under multiple and various constraints deducted from the experiments, to increase the biological relevance of the model.

Software tool (NEURON, Python, C++) based on the multi-agent Bee algorithm and aiming at multi-parametric optimization. 2 versions : - Link with NEURON (need download and install NEURON and NEURON-python) - Autonomous, with two types of neurones (Izhikevich and hodgkin huxley)

Generic toolbox of Particle Swarm Optimization developed in Scilab (PSOTS). It is developed for a variety of complex problems, including single and multi-objective optimization problems, continuous and discrete problems, and mixed integer problems.

The C++ library Geneva allows to run large scale parametric optimization problems. It can run in serial or multi-threaded mode or in a networked environment. The library currently covers Evolutionary Strategies, Genetic Algorithms and mixed scenarios.

This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.

GENIAL is a C++ library for signal and image processing. It uses template-generic techniques, multi threading, cache optimization and SIMD instructions for Pentium (MMX, SSE, SSE2, SSE3) to achieve high performance: FFT,DCT,Convolution,Linear Algebra...

A script(ing/ed/able) optimizing compiler for the C and Objective-C languages (and in the future other languages such as C++, D and Java). Written in a scripting language to allow for experimentation with code generation and optimization techniques.

produce full software package using the binary decision diagram (BDD) representation to manipulate logic maps for design optimization objectives multiplyer{like(A+B)(C)(D)}In C++ Core.C++ GUI.VB6 Verilog Modules Quin McCluskey Multi Functions Operations

Squeezer is a multi-dimensional logfile analyzer for Squid web cache server. It measures transfer speed from Squid, source servers and other caches and gives an information useful for tuning Squid and web cache hierarchy or mesh.

The Parameter Tuning Unity (PTU) aims to adapt the parameters of ever connected multi-agents system, or expert system with a plugged optimization heuristic likes the descent of gradient for instance.

H2O is a collection of C routines and applications designed for the optimization of multi-reservoir and multi-period hydrothermal power production scheduling. H2O is built upon nonlinear network algorithms and heuristic techniques for higher efficiency.

PyOptFrame-LEGACY is a Python version of OptFrame v2, proposed in 2011, now superseeded in 2021 by v5 on GitHub and PIP. The main objective is to provide the same interface to OptFrame C++ optimization framework, including classic metaheuristics such as genetic algorithms, simulated annealing, variable neighborhood search, first/best/multi-improvement, hill climbing, and multi-objective methods such as nsga-ii. See NEWEST version v5 on GitHub and PIP. Please try Official pyoptframe on https://pypi.org/project/optframe/ for OptFrame v5 (last updated 2022).

A multi threading simulated annealing which can be used to solve any optimization problem running in parallel in all machine cores. Optimization problem definition is open and explained through examples. It is implemented in C and only requires libpthread for running.

HyperSim is a Navier-Stokes and Maxwell equations solver. It use the same method-"finite volume" to solve fluid and electromagnetic field. This technique could sharing the same mesh for simulation and make the multi-discipline optimization design possi

MiniMax-M2.7 is a large-scale open-weight language model designed for advanced agent-based workflows, professional software engineering, and complex productivity tasks. With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30%...

Kimi K2.6 is an open-source native multimodal agentic model built for advanced autonomous execution, long-horizon coding, and large-scale task orchestration. It is designed to handle complex end-to-end software workflows across multiple languages and domains, including front-end development, DevOps, performance optimization, and coding-driven design. Beyond coding, it can transform prompts and visual inputs into production-ready interfaces and lightweight full-stack outputs with structured...

An online database and cross-platform, game-like client where gardeners/farmers (small or large scale) can log their actions and measurements (such as weather, yield, current plant size). Any user can then play it back visually, or play with the data and see a simulation inferred from the knowledge database, or calculate an optimal design within given constraints, inferred from the knowledge available at that time. This is both a tool for playing, in order to entertain and inspire...